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Brochure
More information from http://www.researchandmarkets.com/reports/2784356/
Fundamentals of Applied Probability and Random Processes. Edition No. 2
Description:
The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the
central components that made the first edition a classic. The title is based on the premise that engineers use
probability as a modeling tool, and that probability can be applied to the solution of engineering problems.
Engineers and students studying probability and random processes also need to analyze data, and thus
need some knowledge of statistics. This book is designed to provide students with a thorough grounding in
probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce
the basics of statistics. The book's clear writing style and homework problems make it ideal for the
classroom or for self-study.
- Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings
- Expands readers' understanding of disruptive statistics in a new chapter (chapter 8)
- Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining
key concepts.
- Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8)
and inferential (or inductive) statistics (chapter 9).
Contents:
Chapter 1 Basic Probability Concepts
Chapter 2 Random Variables
Chapter 3 Moments of Random Variables
Chapter 4 Special Probability Distributions
Chapter 5 Multiple Random Variables
Chapter 6 Functions of Random Variables
Chapter 7 Transform Methods
Chapter 8 Introduction to Descriptive Statistics
Chapter 9 Introduction to Inferential Statistics
Chapter 10 Introduction to Random Processes
Chapter 11 Linear Systems with Random Inputs
Chapter 12 Special Random Processes
Appendix: Table of CDF of the Standard Normal Random Variable
Bibliography
Index
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